Automated Organization ProfileUniversity of Colorado
University of Colorado
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2521.0 (sum of 794 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset demonstrates the day-to-day variability in the equatorial vertical plasma drifts in the WAM-IPE model compared with the ISR measurements at Jicamarca for Aug 1-21, 2023. The plot corresponding to this data has been demonstrated in the publication - 'Challenges and gaps in understanding and monitoring low latitude F-region plasma irregularities' submitted to Surveys in Geophysics.
Authors
- Malhotra, Garima
This dataset demonstrates the day-to-day variability in the equatorial vertical plasma drifts in the WAM-IPE model compared with the ISR measurements at Jicamarca for Aug 1-21, 2023. The plot corresponding to this data has been demonstrated in the publication - 'Challenges and gaps in understanding and monitoring low latitude F-region plasma irregularities' submitted to Surveys in Geophysics.
Authors
- Malhotra, Garima
/storage/research/micromet/Tier_raw/RAW/2002/Baltimore/2002-Baltimore-Ben-0.zip/storage/research/micromet/Tier_raw/RAW/2002/Baltimore/CubHill/2002-Baltimore-CubHill-Ben2007.zipĀ /storage/research/micromet/Tier_raw/RAW/2002/Baltimore/Baltimore/2002-Baltimore-Ben.zip
Authors
- Crawford, Ben ;
- Grimmond, Sue
/storage/research/micromet/Tier_raw/RAW/2002/Baltimore/2002-Baltimore-Ben-0.zip/storage/research/micromet/Tier_raw/RAW/2002/Baltimore/CubHill/2002-Baltimore-CubHill-Ben2007.zipĀ /storage/research/micromet/Tier_raw/RAW/2002/Baltimore/Baltimore/2002-Baltimore-Ben.zip
Authors
- Crawford, Ben ;
- Grimmond, Sue
Data and plotting scripts for the letter titled "Global analysis of the interactions between small scale ocean mixing and carbonate chemistry."Ā Additional data such as the training data, LES initial conditions, equilibrium concentrations, and example coupled LES raw output files are also included.
Authors
- McGuinn, Mary ;
- Kern, Skyler ;
- Smith, Katherine ;
- Lovenduski, Nicole ;
- Niemeyer, Kyle ;
- Hamlington, Peter
Data and plotting scripts for the letter titled "Global analysis of the interactions between small scale ocean mixing and carbonate chemistry."Ā Additional data such as the training data, LES initial conditions, equilibrium concentrations, and example coupled LES raw output files are also included.
Authors
- McGuinn, Mary ;
- Kern, Skyler ;
- Smith, Katherine ;
- Lovenduski, Nicole ;
- Niemeyer, Kyle ;
- Hamlington, Peter
Source data for: Yee et al., 2025 - Discrete spatiotemporal encoding of striatal dopamine transmission
Authors
- Yee, Andrew Gregory ;
- Liao, Yini ;
- Muntean, Brian ;
- Ford, Christopher Peter
Source data for: Yee et al., 2025 - Discrete spatiotemporal encoding of striatal dopamine transmission
Authors
- Yee, Andrew Gregory ;
- Liao, Yini ;
- Muntean, Brian ;
- Ford, Christopher Peter
This study employed a regional ocean model of the Southern Ocean to study the pathways of Antarctic krill during early life stages. Simulated Lagrangian drifters were embedded within a 5-km horizontal resolution ocean/sea ice/ice shelf Regional Ocean Modeling System circulation model of the Southern Ocean for the period 2016-2019. The drifters include simplistic behavior of the early life stages of krill including the initial descent/ascent cycle, diel vertical migration (DVM), and advection with simulated sea ice velocity, instead of ocean velocity, under certain conditions. Four simulations were run varying different aspects (conditions under which krill were advected with sea ice velocities instead of ocean, details of DVM, details of initial descent/ascent cycle) of the simulated behavior in order to determine the impact on pathways and connectivity. Drifters were released over three separate summer seasons (2016-17, 2017-18, 2018-19) resulting in twelve separate simulation data sets (presented as individual netCDF files within this BCO-DMO dataset).
Authors
- Brooks, Cassandra M. ;
- Dinniman, Michael ;
- Sylvester, Zephyr ;
- Bernard, Kim S. ;
- Thorpe, Sally
This folder contains the data and processing scripts for the manuscript titled "Experimental Insights into Freeze-Thaw Effects on Fine-Grained Sediment Rheology Under Thermokarst Development" by Baker-Stahl et al.Below is a brief description of the folder items:Grain size dataData for the bulk deformation experimentsData for the consolidation experimentsData for the slide-hold-slide experimentsData for the velocity-stepping experimentsPython scripts to process and analyze data and create plots.The raw rheology data is presented in the output format of the rheometer equipment in files named "test_name.txt." The files with an "_r" at the end of the file name, such as "test_name_r.txt," contain the raw data with the text descriptions for different intervals of a test removed to enhance readability by the Python analysis scripts.
Authors
- Carlson, Brandee ;
- Ferdowsi, Behrooz ;
- Baker-Stahl, Lucille